PerSummRe

The size of Wikipedia grows exponentially every year, due to which users face the problem of information overload. We purpose a remedy to this problem by developing a recommendation system for Wikipedia articles. The proposed technique automatically generates a personalized synopsis of the article that a user aims to read next. We develop a tool, called PerSummRe, which learns the reading preferences of a user through a vision-based analysis of his/her past reads. We use an ensemble non-invasive eye gaze tracking technique to analyze user’s reading pattern. This tool performs user profiling and generates a recommended personalized summary of yet unread Wikipedia article for a user. Experimental results showcase the efficiency of the recommendation technique.

Self-Aware Contextual Behavior Analysis for Service Quality Assurance Over Social Networks

Social media allows people to share their ideologue through an efficient channel of communication. The social dialogues carry sentiment in expression regarding a particular social profile, trend, or topic. In our research, we have collected real-time user comments and feedbacks from Twitter portals of two food delivery services. This is followed by the extraction of the most prevalent contexts using natural language analytics. Further, our proposed algorithmic framework is used to generate a signed social network to analyze the product-centric behavioral sentiment. Analysis of sentiment with the fine-grained level about contexts gave a broader view to evaluate and perform contextual predictions. Customer behavior is analyzed, and the outcome is received in terms of positive and negative contexts. The results from our social behavioral model predicted the positive and negative contextual sentiments of customers, which can be further used to help in deciding future strategies and assuring service quality for better customer satisfaction.

A Performance-Based Comparative Encryption and Decryption Technique for Image and Video for Mobile Computing

When data exchange advances through the electronic system, the need for information security has become a must. Protection of images and videos is important in today's visual communication system. Confidential image / video data must be shielded from unauthorized uses. Detecting and identifying unauthorized users is a challenging task. Various researchers have suggested different techniques for securing the transfer of images. In this research, the comparative study of these current technologies also addressed the types of images / videos and the different techniques of image / video processing with the steps used to process the image or video. This research classifies the two types of Encryption Algorithm, Symmetric and Encryption Algorithm, and provides a comparative analysis of its types, such as AES, MAES, RSA, DES, 3DES and BLOWFISH.

Effect of Fair Value Based on IFRS 13 on the Qualitative Characteristics of Accounting Information

The aim of the study to investigate the effect and relationship between accounting of fair value according to the standard of (IFRS13) and the qualitative characteristics of accounting information. The fair value made a good contribution in the field of accounting thought because it faced the deficiency in the principle of historical cost, which was subjected to many criticisms. The researcher designed a questionnaire, where the number of the valid questionnaires was 135. The sample was distributed according to demographic variables (academic achievement, educational qualification, and years of experience). The researcher found through statistical analysis that there is a positive significant relation between the standard of fair value (IFRS13) and the qualitative characteristics of the accounting information. Also, there is an effect of IFRS13 on qualitative characteristics.

Quantifying the Impact of Biopics on Wikipedia Articles

Wikipedia is known for its extensive and comprehensive knowledge of multifarious topics. These topics are maintained as articles along with a history of versions of these articles, these versions are also known as revisions. Revisions are the results of edits made by various users. Here, the authors analyze biographical Wikipedia articles, mainly biographies that have a movie based on them re- leased after the year 2010. The authors look at the impact of the movie release on its corresponding biography article on Wikipedia by looking at various metrics of each revision in a Wikipedia article and analyze how the revisions closer to the movie’s release date compare with the rest of the revisions. The results show that quality and content in Wikipedia articles increases significantly during the release time frame of corresponding biopics. The authors believe their work will stimulate more research in the direction of understanding Wikipedia’s relationship with its allied portals.

Analyzing Linguistic Features for Answer Re-Ranking of Why-Questions

Why-type non-factoid questions are ambiguous and involve variations in their answers. A challenge in returning one appropriate answer to user requires the process of appropriate answer extraction, re-ranking and validation. There are cases where the need is to understand the meaning and context of a document rather than finding exact words involved in question. The paper addresses this problem by exploring lexico-syntactic, semantic and contextual query-dependent features, some of which are based on deep learning frameworks to depict the probability of answer candidate being relevant for the question. The features are weighted by the score returned by ensemble ExtraTreesClassifier according to features importance. An answer re-ranker model is implemented that finds the highest ranked answer comprising largest value of feature similarity between question and answer candidate and thus achieving 0.64 Mean Reciprocal Rank (MRR). Further, answer is validated by matching the answer type of answer candidate and returns the highest ranked answer candidate with matched answer type to a user.

A METAHEURISTIC APPROACH FOR TETROLET BASED MEDICAL IMAGE COMPRESSION

Over recent times, medical imaging plays a significant role in clinical practices. Storing and transferring the huge volume of images becomes complicated without an efficient image compression technique. This paper proposes a compression algorithm that uses a Haar based wavelet transform called Tetrolet transform, which reduces the noise on the input images and decomposes with a 4 x 4 blocks of equal squares called tetrominoes. It opts for a decomposing using optimal scheme for achieving the input image into a sparse representation which gives a much-detailed performance for texture and edge information better than wavelet transform. Set Partitioning in Hierarchical Trees (SPIHT) is used for encoding the significant coefficients to achieve efficient image compression. It has been investigated with various metaheuristic algorithms. Experimental results prove that the proposed method outperforms the other transform-based compression in terms of PSNR, CR, and Complexity. Also, the proposed method shows an improved result with another state of work.

Effect of Fair Value based on IFRS 13 on the Qualitative Characteristics of Accounting Information

The aim of the study to investigate the effect and relationship between accounting of fair value according to the standard of (IFRS13) and the qualitative characteristics of accounting information. The fair value made a good contribution in the field of accounting thought because it faced the deficiency in the principle of historical cost, which was subjected to many criticisms. The researcher designed a questionnaire, where the number of the valid questionnaires was 135. The sample was distributed according to demographic variables (academic achievement, educational qualification, and years of experience). The researcher found through statistical analysis that there is a positive significant relation between the standard of fair value (IFRS13) and the qualitative characteristics of the accounting information. Also, there is an effect of IFRS13 on qualitative characteristics.

An Evaluation Study of e-Learning Course at the Duhok Polytechnic University A Case Study

In last decade, there has been a growing awareness in E-Learning which is the most recent type of distance education, and becomes a highly significant model of educational technology. Today e-Learning studies indicate that there is an increasing use of this educational scheme for students, trainers and instructors which improve the learning capability of the students and trainee by depending on student-centered learning (SCL) scheme rather than using the traditional teacher or trainer centered teaching mechanism.However, students’ awareness for the advantage of using e-Learning has not been significantly investigated, especially in Iraq. The aim of this article is to inspect students’ awareness of the using of e-Learning at the Dohuk Polytechnic University. Participants involved in this study were 100 students studying the C++ programming language course during 2015-2016 and 2017-2018 academic years and 210 students studying computer application course during 2018-2019.

Study of Using Applications of Artificial Intelligence in Performance of Financial Markets

In an attempt to revive the stock market in Egypt and revitalize it to fulfill its developmental role, the Egyptian government has pursued a program of economic and financial reform aimed at improving the regulatory environment for the work of that market and removing all restrictions on foreign exchange transactions for foreign investors on the Egyptian Stock Exchange, so this program allowed free movement of entry and exit of the heads Money without any restrictions. Despite differing opinions about the freedom of movement of capital, however